In Suzanne Britt’s essay titled “Neat People vs. Sloppy People,” she is essentially making a comparison between those who are neat freaks and those who are more unorganized. It is clear that she is more on the side of those who are a little less organized. Britt says that “neat people” are selfish and unmotivated. It is clear that she is more in tune with the so called “sloppy people.” Britt begins the story by saying the difference between the two is based on moral. However, is it really moral that makes them different? What is right in one person’s eyes may be different in another’s. Britt goes on to say that “sloppy people” are not really sloppy just victims of their own integrity. Unorganized people are just more carefree, and not as uptight as the people who are habitual about their cleanliness. People who are unorganized, live in a fairy tale land and can’t really see that their house is untidy, with piles of papers on their desks, book cases that are overflowing with books and magazines that need to be sorted, or that stack of mail they have been meaning to go through. Untidy and unorganized, promise themselves that they will get around to doing those tasks someday, however, they have other things going on that are just as important. Britt goes on to say that “sloppy people” save everything. The last letter they received from a relative who has passed away, post cards from travelling relatives, locks of hair from their children along with the newspaper clipping telling about how one of their children was the team hero at the football game. They have good intentions of putting together that scrapbook to keep their prized possessions organized. They even tell themselves that they will sit down with the old magazines and read them so they can be tossed out. Britt says “sloppy people” never truly get organized. They keep everything, with full intentions of filing it away, and getting organized,...

YOU MAY ALSO FIND THESE DOCUMENTS HELPFUL

...Week Five Discussion
|
This Discussion will give you the opportunity to calculate or identify the three measures of central tendency. You will be asked to select an appropriate real life situation in which one measure would be more appropriate than the other two measures of center.
1. Select a topic of interest to you and record the topic in your posting, for example: “What is the average number of hours people watch TV every week?” Make sure the question you ask will be answered with a number, rather than answers with words.
What is the average number of hours people read every week?
2. Write a hypothesis of what you expect your research to reveal. Example: Adults 21 years and over watch an average of 2.5 hours of TV per day.
On average, people read about 15 hours per week.
3. Sample at least fifteen people and record their data in a simple table or chart; study the examples from Section 12-3.
PERSON | AGE | GENDER | HOURS READ PER WEEK |
1 | 17 | F | 8 |
2 | 16 | F | 10 |
3 | 14 | F | 5 |
4 | 37 | M | 4 |
5 | 38 | F | 20 |
6 | 33 | F | 5 |
7 | 22 | F | 30 |
8 | 52 | F | 30 |
9 | 40 | F | 18 |
10 | 21 | M | 3 |
11 | 16 | F | 14 |
12 | 13 | M | 5 |
13 | 36 | F | 25 |
14 | 27 | F | 20 |
15 | 43 | F | 25 |
4. You can gather your data at work, on the phone, or via some other method. This is your “Sampling Design.” Which of the four sampling techniques best...

...Answer: B.
Do Not Reject H0
Correct Answer: B.
Do Not Reject H0
 Question 5
0 out of 1 points
Questions 5 through 8 refer to the following:
In 1985, the mean weight of players in the National Football League was 225 pounds. A random sample of 50 players taken during the 2012 season showed a mean weight of 249.7 pounds with a sample standard deviation of 35.2 pounds. The researcher is interested in finding evidence at the .05 level that themean weight of NFL players has increased since 1985.
Which of the following pairs of hypotheses is suggested by the scenario described above?
Selected Answer: D.
H0: μ = 225 HA: μ ≠ 225
Correct Answer: C.
H0: μ ≤ 225 HA: μ &gt; 225
 Question 6
1 out of 1 points
What is the value of the test statistic? Selected Answer: B.
4.962
Correct Answer: B.
4.962
 Question 7
0 out of 1 points
Which of the following is(are) the correct critical value(s)? Selected Answer: D.
-2.010, 2.010
Correct Answer: B.
1.677
 Question 8
1 out of 1 points
What is the correct decision? Selected Answer: A.
Reject H0
Correct Answer: A.
Reject H0
 Question 9
1 out of 1 points
Questions 9 through 12 refer to the following:
A particular automotive electrical fuse is designed to disrupt a circuit at a nominal current of 10 amps. The mean and variance of the time at 11 amps required to trigger a disruption are quality characteristics...

...PART A:
i) Male:
Female:
The mean value of life satisfaction for male is about 7.7459 while for female is 7.7101, which proves there is no significant different life satisfaction between male and female, thus gender does not affect life satisfaction a lot. But when it comes to sample variance, for male is 2.5684 while for female is 3.0081. From this pair of figures it is obvious that the life satisfaction for female is more flexible than male. Man’s life satisfactions are easy to be affected by other variables. I assume “GENDER” does not affect life satisfaction.
ii) Not alone:
Alone:
The mean value of satisfaction for those who is not alone is about 7.8055 meanwhile the figure for those who live alone is 7.32584. There is a big gap between these two data, which implies that “ALONE” have a significant impact on people life satisfaction. Additionally, sample variance for alone is much higher than for not alone, which implies other variables affect people who live alone severely and affect people not alone a little. I assume “ALONE” affects “LIFESAT” vitally, since people feel happier when they are accompanied by others but for those who are alone are easy to feel lonely and sad.
iii) Income 1:
Income 6:
The average life satisfaction for people with income level 1 is 7.4426 while for people with income level 6 is 8.2069, which...

...﻿Name:__Sanchia Campbell__________________________________________ Class: _HLT 362V___________________
Date: _7/20/2014_____________________________________________________________________________
EXERCISE 11 Questions to be Graded
1. What demographic variables were measured at least at the interval level of measurement?
Age and Income, length of labor(hrs), return to work (wk), number of hours working per week.
2. What statistics were used to describe the length of labor in this study? Were these appropriate?
Length of labor was described in hours. No, because the original stratified sample of 80 had 12 people who dropped out which deviated the results.
3. What other statistic could have been used to describe the length of labor? Provide a rationale for your answer.
Other statistic that could have been used to describe labor
active labor , pre labor , complications, group b strep, c sections or medical interventions since some mothers do not experience labor because of medically managed births for high risk moms or infants for co morbidity etc.
4. Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer.
The distribution scores were similar for the control and the experimental groups for the length of labor
5. Were the experimental and control groups similar in their type of feeding? Provide a rationale for your answer.
Yes in the...

...Current | Proposed |
Mean | 75.06557 | 75.42623 |
Standard Error | 0.505094 | 0.32091 |
Median | 76 | 76 |
Mode | 76 | 76 |
Standard Deviation | 3.944907 | 2.506385 |
Sample Variance | 15.5623 | 6.281967 |
Kurtosis | -0.06933 | 0.58694 |
Skewness | -0.22053 | -0.28749 |
Range | 19 | 13 |
Minimum | 65 | 69 |
Maximum | 84 | 82 |
Sum | 4579 | 4601 |
Count | 61 | 61 |
Analysis of descriptive statistics shows that both the current and the proposed plan have almost similar mean completion hours which stand at 75.06 and 75.42 for the current and proposed respectively. Both the plans have exact same median and mode. However, the standard deviation in the current plan (3.94) is higher than that in the proposed plan (2.56), which is ultimately leading to the higher variance in the current plan. This suggests that the completion hours are more dispersed the mean value in the current plan, hence the mean does not give the true picture of data distribution whereas in the proposed plan, data for completion hours is comparatively more congregated.
2. Use the methods of Chapter 10 to comment on any difference between the population means for the two methods. Discuss your findings.
On chapter 10, interval estimation is used to reject or accept the hypothesis made about the two means. In this case, the hypothesis will be as follows:
Ho: μ1 - μ2 =0
Ha :μ1 -μ2 ≠ 0...

...Prices are in thousands of dollars.
Those analyses are below:
Descriptive Statistics for Gulf View
Gulf View List Price | Gulf View Sales Price | Gulf View Days to Sell |
Mean | 474.0075 | Mean | 454.2225 | Mean | 106 |
Median | 437 | Median | 417.5 | Median | 96 |
Maximum | 975 | Maximum | 975 | Maximum | 282 |
Minimum | 169.9 | Minimum | 165 | Minimum | 28 |
Standard Deviation | 197.29003 | Standard Deviation | 192.5177534 | Standard Deviation | 58.2168207 |
Based on the chart, the mean was calculated by adding up the sum of the list and divide 40, which the number of the total listed prices. The mean is 474,007.5, which mean the average of the listed price. Secondly, the median was calculated by listing the number in numerical order from lowest to highest and located the number in the middle 437,000. The median represents the middle number of the listed price. After calculating the median I located the minimum and maximum based the lowest and highest data, which are 169,900 and 975,000. These represent the range of the listed price. Lastly, I used the formula to get the standard deviation of 197,290.03, which measures the variability.
To calculate the mean I added up the sum sale price and divide 40, which the number of the total sale prices. The mean is 454,222.5, which mean the average of the listed price. The median...

...﻿Answer the following problems showing your work and explaining (or analyzing) your results.
1. Describe the measures of central tendency. Under what condition(s) should each one be used?
Mean- Works good when it comes to test scores
Median- should be used when describing something like average income.
Mode= is good is you want to see what is you best seeing product in a store situation.
2. Last year, 12 employees from a computer company retired. Their ages at retirement are listed below.First, create a stem plot for the data. Next, find the mean retirement age. Round to the nearest year.
55 77 64 77 69 63 62 64 85 64 56 59
8
5
7
77
6
234449
5
569
Mean = 66
3. A retail store manager kept track of the number of car magazines sold each week over a 10-week period. The results are shown below.
27 30 21 62 28 18 23 22 26 28
a. Find the mean, median, and mode of newspapers sold over the 10-week period.
285
Mean= 28.5
Median=26.5
Mode=28
b. Which measure(s) of central tendency best represent the data?
Mean
c. Name any outliers. 62
d. Joe wants to pass his statistics class with at least a 75%. His prior four test scores are 74%, 68%, 84% and 79%. What is the minimum score he needs on the final exam to pass the class with a 75% average?...